Team:ETH Zurich/project/overview/summarysimple

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Revision as of 09:49, 2 September 2014 by Clormeau (Talk | contribs)

ETH Zurich snails.jpg You might be wondering where these patterns on snea snail shells come from. What if they would come from a simple rule, followed by all cells on the shell ? ETH Zurich Rule 90.PNG

   
    
    Automaton Explorer
    
    
    
    
    
    
    
    
    
    

Automaton Explorer

rule: 30 start:

From MathWorld: "A cellular automaton is a collection of 'colored' cells on a grid of specified shape that evolves through a number of discrete time steps according to a set of rules based on the states of neighboring cells." This example explores binary, nearest-neighbor, one-dimensional automata, of which there are 256 (28) possible rules. The eight possible outcomes for the current rule are shown across the top; click to toggle the selected bit.